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Abstract This work addresses the problem of the mean square anti-synchronization for the periodic BAM neural networks (NNs) with time-varying delays. To overcome the channel capacity constraint, a new Markov… Click to show full abstract
Abstract This work addresses the problem of the mean square anti-synchronization for the periodic BAM neural networks (NNs) with time-varying delays. To overcome the channel capacity constraint, a new Markov scheduling protocol is introduced, and the scheduling protocol dependent controller is designed. An anti-synchronization error system (ASES) is obtained, and anti-synchronization for the BAM NNs is studied via analyzing the ASES, and a corresponding sufficient condition is established. Then the controller gain calculating method is given. Finally, a numerical simulation is given to shown the effectiveness of the derived approach.
Journal Title: Neurocomputing
Year Published: 2020
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